Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mukhamet Nurpeiissov"'
Publikováno v:
Robot Intelligence Technology and Applications 6 ISBN: 9783030976712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8ba32eb654b49139c9f9954aa29f776
https://doi.org/10.1007/978-3-030-97672-9_45
https://doi.org/10.1007/978-3-030-97672-9_45
Autor:
Hüseyin Atakan Varol, Yerbolat Khassanov, Aslan Assylkhanov, Askat Kuzdeuov, Mukhamet Nurpeiissov
This paper addresses sequential indoor localization using WiFi and Inertial Measurement Unit (IMU) modules commonly found in commercial off-the-shelf smartphones. Specifically, we developed an end-to-end neural network-based localization system integ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87c56ff2076162b19210c0a8954e9dc7
https://doi.org/10.36227/techrxiv.17109275.v1
https://doi.org/10.36227/techrxiv.17109275.v1
Autor:
Azamat Sarkytbayev, Huseyin Atakan Varol, Askat Kuzdeuov, Yerbolat Khassanov, Mukhamet Nurpeiissov
Publikováno v:
SII
The WiFi-based indoor localization problem aims to identify the location of a user using the signals received from surrounding wireless access points. A major approach to address this problem is through machine learning algorithms trained on precolle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fc314ce5056a62a819651ef7129f27a
https://doi.org/10.1109/ieeeconf49454.2021.9382623
https://doi.org/10.1109/ieeeconf49454.2021.9382623
Autor:
Huseyin Atakan Varol, Michael Lewis, Mukhamet Nurpeiissov, Almas Mirzakhmetov, Askat Kuzdeuov, Aknur Karabay, Bauyrzhan Ibragimov, Daulet Baimukashev
Publikováno v:
IEEE Journal of Biomedical and Health Informatics
In this work, we present an open-source stochastic epidemic simulator calibrated with extant epidemic experience of COVID-19. The simulator models a country as a network representing each node as an administrative region. The transportation connectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::848dd97574f38b52edc6bf7eb04d2992
https://pubmed.ncbi.nlm.nih.gov/32749979
https://pubmed.ncbi.nlm.nih.gov/32749979
Autor:
Mukhamet Nurpeiissov, Yerbolat Khassanov, Saida Mussakhojayeva, Alen Adiyev, Almas Mirzakhmetov, Huseyin Atakan Varol
Publikováno v:
EACL
We present an open-source speech corpus for the Kazakh language. The Kazakh speech corpus (KSC) contains around 332 hours of transcribed audio comprising over 153,000 utterances spoken by participants from different regions and age groups, as well as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7b99a8a693518f84d793e520e1a3940